Model comparison
LFM2-24B-A2B vs o1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: LFM2-24B-A2B #207 (Supported); o1 #136 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2-24B-A2B and o1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to LFM2-24B-A2B; 16 to o1.
Updated July 28, 2026- Shared results
- 0
- LFM2-24B-A2B only
- 0
- o1 only
- 16
- Comparable categories
- 0 / 8
Benchmark data for LFM2-24B-A2B and o1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for LFM2-24B-A2B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
o1 is priced at $15.00 input / $60.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2-24B-A2B. o1 has the larger context window at 200K, compared with 32K for LFM2-24B-A2B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2-24B-A2B | o1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2-24B-A2B$0 input / $0 output | o1$15 input / $60 output | LFM2-24B-A2B has the lower combined listed price. |
| Generation speedtokens per second | LFM2-24B-A2B92 tok/s | o198 tok/s | o1 has the higher measured throughput. |
| First-answer latencyseconds to first token | LFM2-24B-A2B0.42 s | o132.29 s | LFM2-24B-A2B reaches the first token sooner. |
| Context windowmaximum listed tokens | LFM2-24B-A2B32K | o1200K | o1 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | LFM2-24B-A2B | o1 | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 62.6% | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | LFM2-24B-A2B | o1 | Result |
|---|---|---|---|
| MMLUSource | — | 91.8% | Not comparable |
| GPQASource | — | 75.7% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 23.4% | Not comparable |
| AA-GPQA DiamondSource | — | 74.7% | Not comparable |
| AA-HLESource | — | 7.7% | Not comparable |
| AA-Omniscience IndexSource | — | -10.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 34.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 69.3% | Not comparable |
Math1 benchmarks
| Benchmark | LFM2-24B-A2B | o1 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 9.310% | Not comparable |
Frequently Asked Questions (3)
Can I compare LFM2-24B-A2B and o1 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for LFM2-24B-A2B and o1 today?
LFM2-24B-A2B: $0.00 input / $0.00 output per 1M tokens o1: $15.00 input / $60.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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The model to choose, the cheaper alternative, and the release we would wait on.
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